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Galaxy-Kubernetes integration: scaling bioinformatics workflows in the cloud
View ORCID ProfilePablo Moreno, View ORCID ProfileLuca Pireddu, View ORCID ProfilePierrick Roger, Nuwan Goonasekera, View ORCID ProfileEnis Afgan, View ORCID ProfileMarius van den Beek, View ORCID ProfileSijin He, View ORCID ProfileAnders Larsson, View ORCID ProfileDaniel Schober, View ORCID ProfileChristoph Ruttkies, View ORCID ProfileDavid Johnson, View ORCID ProfilePhilippe Rocca-Serra, View ORCID ProfileRalf JM Weber, View ORCID ProfileBjörn Gruening, View ORCID ProfileReza M Salek, View ORCID ProfileNamrata Kale, View ORCID ProfileYasset Perez-Riverol, View ORCID ProfileIrene Papatheodorou, View ORCID ProfileOla Spjuth, View ORCID ProfileSteffen Neumann
doi: https://doi.org/10.1101/488643
Pablo Moreno
aEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Cambridge, United Kingdom
Luca Pireddu
bDistributed Computing Group, CRS4, Italy;
Pierrick Roger
cCEA, Laboratory for Data Analysis and Systems Intelligence, MetaboHUB, France
Nuwan Goonasekera
fMelbourne Bioinformatics & EMBL Australia Bioinformatics Resource, University of Melbourne, Australia
Enis Afgan
gJohns Hopkins University, Department of Biology, USA;
Marius van den Beek
lInstitut Curie, PSL Research University, Paris, France
Sijin He
aEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Cambridge, United Kingdom
Anders Larsson
fMelbourne Bioinformatics & EMBL Australia Bioinformatics Resource, University of Melbourne, Australia
Daniel Schober
dLeibniz Institute of Plant Biochemistry, Dept. of Stress and Developmental Biology, Halle, Germany.
Christoph Ruttkies
dLeibniz Institute of Plant Biochemistry, Dept. of Stress and Developmental Biology, Halle, Germany.
David Johnson
hDepartment of Engineering Science, University of Oxford, United Kingdom;
Philippe Rocca-Serra
hDepartment of Engineering Science, University of Oxford, United Kingdom;
Ralf JM Weber
iSchool of Biosciences, University of Birmingham, Edgbaston, Birmingham, B15 2TT, United Kingdom;
Björn Gruening
jUniversity of Freiburg, Department of Computer Science, Georges-Köhler-Allee 106, 79110, Freiburg, Germany
Reza M Salek
kInternational Agency for Research on Cancer, Lyon CEDEX 08, France
Namrata Kale
aEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Cambridge, United Kingdom
Yasset Perez-Riverol
aEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Cambridge, United Kingdom
Irene Papatheodorou
aEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Cambridge, United Kingdom
Ola Spjuth
eDepartment of Pharmaceutical Biosciences and Science for Life Laboratory, Uppsala University, Sweden
Steffen Neumann
dLeibniz Institute of Plant Biochemistry, Dept. of Stress and Developmental Biology, Halle, Germany.
Posted February 12, 2019.
Galaxy-Kubernetes integration: scaling bioinformatics workflows in the cloud
Pablo Moreno, Luca Pireddu, Pierrick Roger, Nuwan Goonasekera, Enis Afgan, Marius van den Beek, Sijin He, Anders Larsson, Daniel Schober, Christoph Ruttkies, David Johnson, Philippe Rocca-Serra, Ralf JM Weber, Björn Gruening, Reza M Salek, Namrata Kale, Yasset Perez-Riverol, Irene Papatheodorou, Ola Spjuth, Steffen Neumann
bioRxiv 488643; doi: https://doi.org/10.1101/488643
Galaxy-Kubernetes integration: scaling bioinformatics workflows in the cloud
Pablo Moreno, Luca Pireddu, Pierrick Roger, Nuwan Goonasekera, Enis Afgan, Marius van den Beek, Sijin He, Anders Larsson, Daniel Schober, Christoph Ruttkies, David Johnson, Philippe Rocca-Serra, Ralf JM Weber, Björn Gruening, Reza M Salek, Namrata Kale, Yasset Perez-Riverol, Irene Papatheodorou, Ola Spjuth, Steffen Neumann
bioRxiv 488643; doi: https://doi.org/10.1101/488643
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